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CLI

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The contentrain CLI is the human-facing companion to @contentrain/mcp. While MCP handles deterministic tool execution for AI agents, the CLI gives you direct terminal access to initialize projects, inspect health, generate typed SDK clients, review pending changes, and run the local review UI.

Why a CLI?

You might wonder: if the AI agent handles everything through MCP, why do you need a CLI?

  • Bootstrappingcontentrain init sets up .contentrain/, git hooks, and IDE rules before the agent is even connected
  • Visibilitycontentrain status and contentrain doctor give you instant project health without asking an agent
  • SDK generationcontentrain generate creates the typed client your application code imports
  • Review workflowcontentrain diff and contentrain serve let you review agent-created content in a proper UI
  • CI/CD integrationcontentrain validate runs in pipelines to catch schema violations before deploy

Agent + CLI = Complete Workflow

The agent creates content through MCP tools. The CLI helps you verify, review, and consume that content. They are complementary, not redundant.

Install

Run directly with npx (no install required):

bash
npx contentrain init

Or install globally:

bash
npm install -g contentrain
contentrain status

Requirements:

  • Node.js 22+
  • Git available in PATH

Commands

CommandPurpose
contentrain initInitialize .contentrain/, git workflow, templates, and IDE rules
contentrain statusShow project overview, models, branch pressure, and validation summary
contentrain doctorCheck setup health, SDK freshness, orphan content, and branch limits
contentrain validateValidate content against schemas, optionally create review-branch fixes
contentrain generateGenerate .contentrain/client/ and #contentrain package imports
contentrain diffReview and merge or reject pending contentrain/* branches
contentrain setupConfigure MCP server and AI rules for your IDE
contentrain skillsInstall, update, or list AI skills and rules for your IDE
contentrain serveStart the local review UI or the MCP stdio server
contentrain studio connectConnect a repository to a Studio project
contentrain studio loginAuthenticate with Contentrain Studio
contentrain studio logoutLog out from Studio
contentrain studio whoamiShow current authentication status
contentrain studio statusShow project overview from Studio
contentrain studio activityShow recent activity feed
contentrain studio usageShow workspace usage metrics
contentrain studio branchesManage remote content branches
contentrain studio cdn-initSet up CDN for content delivery
contentrain studio cdn-buildTrigger a CDN rebuild
contentrain studio webhooksManage webhooks
contentrain studio submissionsManage form submissions

contentrain init

Bootstraps a Contentrain project in your repository.

bash
# Interactive setup
contentrain init

# Skip prompts, use defaults
contentrain init --yes

# Specify project root
contentrain init --root /path/to/project
FlagDescription
--yesSkip prompts, use defaults
--root <path>Project root path

This creates:

  • .contentrain/config.json — project configuration
  • .contentrain/models/ — model schema directory
  • .contentrain/content/ — content storage directory
  • IDE rules and Agent Skills (Claude Code, Cursor, Windsurf, GitHub Copilot)

If the directory is not a git repo, contentrain init runs git init automatically.

IDE Rules & Skills

contentrain init installs a compact essential guardrails file (~86 lines, always-loaded) plus Agent Skills directories (on-demand) for detected IDEs. Old granular rule files from previous versions are automatically cleaned up. GitHub Copilot support is included via .github/copilot-instructions.md.


contentrain status

Shows a comprehensive project overview.

bash
# Human-readable output
contentrain status

# JSON output for CI pipelines
contentrain status --json

# Specify project root
contentrain status --root /path/to/project
FlagDescription
--jsonOutput results as JSON (for CI/CD)
--root <path>Project root path

Outputs:

  • Project configuration (stack, workflow mode, locales)
  • Registered models with entry counts
  • Active contentrain/* branches and their health
  • Validation summary (errors, warnings)
  • Last operation context

contentrain doctor

Runs a health check on your project setup.

bash
contentrain doctor

# Specify project root
contentrain doctor --root /path/to/project
FlagDescription
--root <path>Project root path

Checks for:

  • Missing or misconfigured .contentrain/config.json
  • SDK client freshness (is the generated client stale?)
  • Orphan content (entries referencing deleted models)
  • Branch limit pressure (too many pending review branches)
  • Missing dependencies

contentrain validate

Validates all content against model schemas.

bash
# Check for issues
contentrain validate

# Auto-fix structural issues and create a review branch
contentrain validate --fix

# Interactive mode — choose which issues to fix
contentrain validate --interactive

# Validate a single model
contentrain validate --model blog-posts

# JSON output for CI pipelines
contentrain validate --json
FlagDescription
--fixAuto-fix structural issues and create a review branch
--interactiveChoose which issues to fix interactively
--model <id>Validate a single model instead of all
--jsonOutput results as JSON (for CI/CD)
--root <path>Project root path

Validation catches:

  • Missing required fields
  • Type mismatches (string where integer expected)
  • Invalid relation references
  • Locale coverage gaps
  • Canonical serialization violations

Auto-Fix Creates a Branch

When using --fix, the validator creates a contentrain/* review branch with the fixes. You still need to review and merge the changes.


contentrain generate

Generates the typed SDK client from your model definitions.

bash
# Generate once
contentrain generate

# Watch mode (re-generates on model/content changes)
contentrain generate --watch

# Specify project root
contentrain generate --root /path/to/project

This reads .contentrain/models/ and .contentrain/content/ and produces:

.contentrain/client/
  index.mjs          — ESM entry
  index.cjs          — CJS entry
  index.d.ts         — Generated TypeScript types
  data/
    {model}.{locale}.mjs   — Static data modules

It also updates your package.json with #contentrain subpath imports:

json
{
  "imports": {
    "#contentrain": {
      "types": "./.contentrain/client/index.d.ts",
      "import": "./.contentrain/client/index.mjs",
      "require": "./.contentrain/client/index.cjs",
      "default": "./.contentrain/client/index.mjs"
    }
  }
}

After generation, import the client in your app:

ts
import { query, singleton, dictionary, document } from '#contentrain'

Watch Mode for Development

Run contentrain generate --watch alongside your framework's dev server. Add it to your package.json scripts:

json
{
  "scripts": {
    "contentrain:watch": "contentrain generate --watch"
  }
}

contentrain diff

Review pending contentrain/* branches.

bash
contentrain diff

# Specify project root
contentrain diff --root /path/to/project
FlagDescription
--root <path>Project root path

Shows:

  • List of pending review branches
  • Changes in each branch (models added/modified, content entries changed)
  • Options to merge or reject each branch

Use contentrain status first to see how many branches are pending.


contentrain setup

Configures the MCP server and installs AI rules/skills for your IDE in one command.

bash
# Configure for a specific IDE
contentrain setup claude-code
contentrain setup cursor
contentrain setup vscode
contentrain setup windsurf
contentrain setup copilot

# Configure all detected IDEs at once
contentrain setup --all

# Specify project root
contentrain setup --root /path/to/project
FlagDescription
--allConfigure all detected IDEs
--root <path>Project root path

What it does:

  1. Writes the correct MCP config file for the target IDE
  2. Installs AI rules and skills if not already present
  3. Merges into existing config without overwriting other MCP servers
AgentConfig File Created
claude-code.mcp.json
cursor.cursor/mcp.json
vscode.vscode/mcp.json
windsurf.windsurf/mcp.json
copilot.vscode/mcp.json

Already done by contentrain init

contentrain init auto-detects your IDE and writes the MCP config during project setup. Use contentrain setup when you switch IDEs or want to add another IDE to an existing project.


contentrain skills

Install, update, or list Contentrain AI skills and rules for your IDE.

bash
# Install skills and rules for detected IDEs
contentrain skills

# Force update all skills (overwrite existing)
contentrain skills --update

# List installed skills and their status
contentrain skills --list

# Specify project root
contentrain skills --root /path/to/project
FlagDescription
--listList installed skills with ✓/✗ status per IDE
--updateForce update all skills and rules (overwrites existing files)
--root <path>Project root path

Detects and installs for all major AI-powered IDEs:

IDERules DirectorySkills Directory
Claude Code.claude/rules/.claude/skills/
Cursor.cursor/rules/.cursor/skills/
Windsurf.windsurf/rules/.windsurf/skills/
GitHub Copilot.github/.agents/skills/

Installs:

  • Essential rules (~86 lines, always-loaded guardrails)
  • 15 Agent Skills (on-demand workflow procedures with reference docs)

Skills vs Rules

Rules are always-loaded behavioral guardrails (compact, ~86 lines). Skills are on-demand procedural workflows the agent loads when needed (normalize, content CRUD, translation, etc.). Both are plain markdown files that IDEs auto-discover.

Already installed by contentrain init

contentrain init automatically installs skills and rules during project setup. Use contentrain skills --update to refresh them after upgrading @contentrain/skills or @contentrain/rules packages.


contentrain serve

Starts the local review UI or the MCP stdio server.

Web UI Mode (default)

bash
# Default: localhost:3333
contentrain serve

# Custom host and port
contentrain serve --port 8080 --host 0.0.0.0

# Open browser automatically
contentrain serve --open

# Demo mode — try without a real project
contentrain serve --demo
FlagDescription
--port <number>HTTP server port (default: 3333)
--host <address>Bind address (default: localhost)
--openOpen browser automatically
--demoStart with a temporary demo project (no setup needed)
--root <path>Project root path

Environment variable overrides:

VariableEquivalent FlagDescription
CONTENTRAIN_STDIO=true--stdioUse stdio MCP transport
CONTENTRAIN_PORT--portHTTP server port
CONTENTRAIN_HOST--hostBind address
CONTENTRAIN_NO_OPEN=trueDisable auto browser open
CONTENTRAIN_PROJECT_ROOT--rootProject root path

CLI flags take precedence over environment variables.

The web UI provides:

  • REST endpoints for status, content, validation, branches, and normalize data
  • WebSocket stream for live updates
  • Embedded Vue application for visual content review
  • Branch management (merge, reject, inspect diffs)

MCP Stdio Mode

bash
contentrain serve --stdio
FlagDescription
--stdioUse stdio MCP transport (for IDE integration)

Use stdio mode when connecting an IDE agent (Claude Code, Cursor, Windsurf) to the local project. This exposes all 16 MCP tools over the stdio transport.

The fastest way to configure this is with the setup command:

bash
contentrain setup claude-code   # or: cursor, vscode, windsurf, copilot
Manual config (all IDEs use the same JSON)
json
{
  "mcpServers": {
    "contentrain": {
      "command": "npx",
      "args": ["contentrain", "serve", "--stdio"]
    }
  }
}
IDEConfig file
Claude Code.mcp.json
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Windsurf.windsurf/mcp.json

Studio Integration

The studio command group connects the CLI to Contentrain Studio — the enterprise web surface for team content management.

Authentication

bash
# Sign in via GitHub or Google OAuth
contentrain studio login

# Select provider directly
contentrain studio login --provider github

# Connect to a self-hosted Studio instance
contentrain studio login --url https://studio.example.com

# Check who you're logged in as
contentrain studio whoami

# Sign out and clear stored credentials
contentrain studio logout
FlagDescription
--provider <github|google>Skip provider selection prompt
--url <url>Studio instance URL (default: https://studio.contentrain.io)

Credentials are stored in ~/.contentrain/credentials.json with 0o600 permissions — never inside the project directory.

Environment variables:

VariableDescription
CONTENTRAIN_STUDIO_TOKENSkip interactive login in CI/CD
CONTENTRAIN_STUDIO_URLOverride Studio instance URL

Connecting a Repository

bash
# Interactive flow: workspace → GitHub App → repo → scan → create project
contentrain studio connect

# Skip workspace selection
contentrain studio connect --workspace ws-123

# JSON output for scripting
contentrain studio connect --json
FlagDescription
--workspace <id>Skip workspace selection prompt
--jsonOutput result as JSON (workspace, project, repository, scan)

The connect command links your local repository to a Studio project in one interactive flow:

  1. Workspace — select an existing workspace (auto-selects if only one)
  2. GitHub App — checks if the Contentrain GitHub App is installed; if not, opens the browser for installation
  3. Repository — detects the current git remote and matches it against accessible repos
  4. Scan — checks the repository for .contentrain/ configuration, reports found models and locales
  5. Create — prompts for a project name and creates the project in Studio

After a successful connection, workspace and project IDs are saved as defaults so subsequent studio commands skip interactive selection.

Run contentrain init First

The connect flow works best when .contentrain/ is already initialized and pushed to the repository. The scan step confirms your setup, but you can also connect first and initialize later.

Project Monitoring

contentrain studio status

bash
contentrain studio status
contentrain studio status --workspace ws-123 --project proj-456 --json
FlagDescription
--workspace <id>Workspace ID (skip selection prompt)
--project <id>Project ID (skip selection prompt)
--jsonOutput as JSON

Shows project overview: branches, CDN status, and team.

contentrain studio activity

bash
contentrain studio activity
contentrain studio activity --limit 10 --json
FlagDescription
--limit <number>Number of entries (default: 20)
--workspace <id>Workspace ID
--project <id>Project ID
--jsonOutput as JSON

Shows recent activity feed.

contentrain studio usage

bash
contentrain studio usage
contentrain studio usage --workspace ws-123 --json
FlagDescription
--workspace <id>Workspace ID
--project <id>Project ID (for context resolution)
--jsonOutput as JSON

Shows workspace usage metrics (AI messages, storage, bandwidth).

Branch Management

contentrain studio branches

bash
contentrain studio branches
contentrain studio branches --workspace ws-123 --project proj-456 --json
FlagDescription
--workspace <id>Workspace ID
--project <id>Project ID
--jsonOutput as JSON

List pending branches, interactively merge or reject.

CDN Setup & Delivery

contentrain studio cdn-init

bash
contentrain studio cdn-init
contentrain studio cdn-init --workspace ws-123 --project proj-456
FlagDescription
--workspace <id>Workspace ID
--project <id>Project ID

Interactive setup: create API key, trigger first build, get SDK snippet.

contentrain studio cdn-build

bash
contentrain studio cdn-build
contentrain studio cdn-build --wait --json
FlagDescription
--waitWait for build to complete
--workspace <id>Workspace ID
--project <id>Project ID
--jsonOutput as JSON

Trigger a CDN rebuild after content changes.

Webhooks

contentrain studio webhooks

bash
contentrain studio webhooks
contentrain studio webhooks --workspace ws-123 --project proj-456 --json
FlagDescription
--workspace <id>Workspace ID
--project <id>Project ID
--jsonOutput as JSON

Manage webhooks: create, delete, test, view deliveries.

Form Submissions

contentrain studio submissions

bash
contentrain studio submissions --form contact-form
contentrain studio submissions --form contact-form --status pending --json
FlagDescription
--form <id>Form model ID
--status <status>Filter by status (pending, approved, rejected)
--workspace <id>Workspace ID
--project <id>Project ID
--jsonOutput as JSON

Manage form submissions: list, approve, reject.

Studio + CLI = Full Developer Experience

Studio handles team collaboration, media management, AI conversations, and CDN delivery in the browser. The CLI gives developers terminal access to the same operations — authenticate once, then manage branches, trigger builds, and monitor usage without leaving the editor.


Typical Workflow

bash
# 1. Initialize the project (auto-configures MCP for detected IDEs)
contentrain init

# 2. Or set up MCP for a specific IDE manually
contentrain setup claude-code

# 3. Check project health
contentrain status
contentrain doctor

# 4. Let the agent create models and content via MCP...

# 5. Generate the typed SDK client
contentrain generate

# 6. Validate everything
contentrain validate

# 7. Review agent-created branches
contentrain diff

# 8. Open the local review UI
contentrain serve

From Local to Team

The CLI covers single-developer workflows. When you need workspace/project management, role-based collaboration, visual diff review, media operations, and content CDN delivery, Contentrain Studio extends the same Git-native model with an open-core team web surface that can be self-hosted or run as a managed Pro/Enterprise offering.

  • MCP Tools — The deterministic tool layer the CLI wraps
  • Query SDK — The generated client that contentrain generate produces
  • Rules & Skills — Agent behavior policies installed by contentrain init
  • Contentrain Studio — Team workspace, review, media, and CDN operations